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AuthorsPiccinini, D.* 
Pastori, M.* 
Margheriti, L.* 
TitleANISOMAT+: An automatic tool to retrieve seismic anisotropy from local earthquakes
Issue DateJul-2013
Series/Report no./56(2013)
Keywordsshear wave splitting, Earthquake forecast, Anisotropy, Cross-correlation method
Subject Classification04. Solid Earth::04.01. Earth Interior::04.01.02. Geological and geophysical evidences of deep processes 
04. Solid Earth::04.02. Exploration geophysics::04.02.06. Seismic methods 
04. Solid Earth::04.02. Exploration geophysics::04.02.07. Instruments and techniques 
04. Solid Earth::04.04. Geology::04.04.01. Earthquake geology and paleoseismology 
04. Solid Earth::04.04. Geology::04.04.11. Instruments and techniques 
04. Solid Earth::04.06. Seismology::04.06.03. Earthquake source and dynamics 
04. Solid Earth::04.06. Seismology::04.06.07. Tomography and anisotropy 
04. Solid Earth::04.06. Seismology::04.06.10. Instruments and techniques 
04. Solid Earth::04.07. Tectonophysics::04.07.05. Stress 
05. General::05.01. Computational geophysics::05.01.01. Data processing 
05. General::05.01. Computational geophysics::05.01.05. Algorithms and implementation 
AbstractAn automatic analysis code called ANISOMAT+ has been developed and improved to automatically retrieve the crustal anisotropic parameters fast polarization direction (ϕ) and delay time (δt) related to the shear wave splitting phenomena affecting seismic S-wave. The code is composed of a set of MatLab scripts and functions able to evaluate the anisotropic parameters from the three-component seismic recordings of local earthquakes using the cross-correlation method. Because the aim of the code is to achieve a fully automatic evaluation of anisotropic parameters, during the development of the code we focus our attention to devise several automatic checks intended to guarantee the quality and the stability of the results obtained. The basic idea behind the development of this automatic code is to build a tool able to work on a huge amount of data in a short time, obtaining stable results and minimizing the errors due to the subjectivity. These behaviors, coupled to a three component digital seismic network and a monitoring system that performs automatic pickings and locations, are required to develop a real-time monitoring of the anisotropic parameters.
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